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      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableD3_Pa
> nelB.log
  log type:  text
 opened on:  18 Feb 2024, 22:18:35

. foreach var of varlist $bl_social $bl_education $bl_household{
  2. clustse regress `var' treatment final_stratum_id1-final_stratum_id13 entry_sur
> vey, cluster(uid_cluster) method(pairs) reps(5000) seed(13915183)
  3. }
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
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              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.01513004    0.475   -.05888898     .0286289
final_str~d1   -.11808018    0.091   -.27433849    .03817812
final_str~d2   -.13438155    0.072   -.31484399    .04608089
final_str~d3   -.04412871    0.107   -.11392087    .02566345
final_str~d4   -.07520176    0.089   -.17974655    .02934304
final_stra~5   -.16805527    0.021    -.2820006   -.05410994
final_stra~6   -.06614491    0.089   -.18998794    .05769812
final_stra~7   -.24491611    0.004   -.29269244   -.19713977
final_stra~8    .03480372    0.340   -.06927826     .1388857
final_stra~9    .07160575    0.222   -.17921518    .32242668
final_str~10    .00234089    0.962   -.43832956    .44301135
final_str~11   -.01915787    0.772   -.40782239    .36950664
final_str~12   -.04892961    0.075   -.11662948    .01877025
final_str~13    .06938868    0.463   -1.0639155    1.2026929
entry_survey   -.03510832    0.110    -.0790497    .00883306
_cons           .68335499    0.000     .6213866    .74532338
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -1.3022946    0.168   -3.3354217    .73083251
final_str~d1   -1.9446465    0.598   -15.016024    11.126731
final_str~d2   -3.6396265    0.497   -29.385655    22.106402
final_str~d3   -.33128841    0.919   -12.531996    11.869419
final_str~d4   -2.9008927    0.432   -17.847531    12.045745
final_stra~5   -1.4355119    0.691   -11.449412    8.5783885
final_stra~6    4.1687116    0.418   -42.907644    51.245067
final_stra~7   -5.8299293    0.343   -51.989901    40.330043
final_stra~8    4.1583499    0.420   -7.0993188    15.416019
final_stra~9    1.1263877    0.751   -18.486347    20.739123
final_str~10    3.1393177    0.433   -11.897506    18.176141
final_str~11   -.30713142    0.908   -18.801368    18.187105
final_str~12   -1.1692984    0.700   -207.47463    205.13603
final_str~13    3.1412461    0.484   -87.412789    93.695281
entry_survey    -1.721901    0.044   -3.4067764   -.03702564
_cons           36.217183    0.000    25.768615    46.665751
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .00187381    0.874   -.02131327    .02506088
final_str~d1   -.02928796    0.409   -.16150093    .10292501
final_str~d2    -.0718253    0.159   -.21321602    .06956542
final_str~d3   -.03963522    0.269   -.22116081    .14189037
final_str~d4   -.05832444    0.252   -.20848926    .09184039
final_stra~5   -.09737549    0.178   -.29425998      .099509
final_stra~6    .01573219    0.629   -1.0526498    1.0841142
final_stra~7   -.04972736    0.319   -1.6334145    1.5339598
final_stra~8   -.05317772    0.195   -.16526539    .05890995
final_stra~9    -.1011408    0.173   -.47934134    .27705974
final_str~10   -.08711389    0.131   -.25639406    .08216627
final_str~11   -.07368716    0.144   -.24201794    .09464363
final_str~12   -.08333745    0.132   -.32731617    .16064126
final_str~13   -.01193463    0.739   -.70234223    .67847296
entry_survey   -.00028839    0.978   -.01790999     .0173332
_cons           .10067993    0.062   -.01103129    .21239115
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.00808062    0.747    -.0629776    .04681636
final_str~d1   -.00758926    0.946   -.69662489    .68144637
final_str~d2   -.02572085    0.826    -1.078644    1.0272023
final_str~d3    .01283471    0.907   -.64790205    .67357147
final_str~d4    .11961922    0.510   -2.2256663    2.4649047
final_stra~5   -.04862298    0.710   -.67646348    .57921752
final_stra~6   -.08899666    0.590   -6.1543486    5.9763553
final_stra~7    .27449593    0.333   -11.637744    12.186736
final_stra~8   -.05384241    0.682   -.69129015    .58360533
final_stra~9   -.05833279    0.678   -1.2149714    1.0983058
final_str~10   -.06879566    0.636   -.82632226    .68873095
final_str~11    .13251143    0.503   -.83806343    1.1030863
final_str~12     .2144307    0.328   -7.2320733    7.6609347
final_str~13    .37388363    0.184    -3.549618    4.2973853
entry_survey   -.01412714    0.489   -.05670997    .02845568
_cons           .17815957    0.488     -.545937    .90225614
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
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              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .00011056    0.997    -.0527506    .05297172
final_str~d1   -.10949546    0.075   -.28843118    .06944027
final_str~d2   -.06784138    0.298   -.39425359    .25857084
final_str~d3    .06491388    0.136   -.12852685    .25835462
final_str~d4    .06595602    0.491   -2.5903192    2.7222313
final_stra~5    .01449883    0.866   -.26259668    .29159435
final_stra~6   -.04870216    0.564   -2.6149946    2.5175903
final_stra~7   -.23462091    0.013   -.41945018   -.04979164
final_stra~8    .00286739    0.973    -.3243234    .33005818
final_stra~9    .00075315    0.962   -.29870918    .30021547
final_str~10    .27461661    0.184   -.34102687    .89026009
final_str~11   -.25031013    0.060   -.53768885    .03706859
final_str~12   -.14823655    0.246   -.74844899     .4519759
final_str~13   -.26927265    0.055   -.75742538    .21888008
entry_survey    .04439564    0.019    .00759036    .08120092
_cons           .33593638    0.008    .14037833    .53149444
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .04182283    0.207    -.0278845    .11153016
final_str~d1   -.02170027    0.692   -.19115929    .14775876
final_str~d2   -.02690675    0.740   -.69374753    .63993403
final_str~d3    .04846889    0.450   -.15716013    .25409791
final_str~d4   -.01364563    0.764   -6.0993293     6.072038
final_stra~5   -.04707052    0.354   -.18286663    .08872559
final_stra~6     .2219439    0.186   -4.3584557    4.8023435
final_stra~7    .02795708    0.392   -.54659545     .6025096
final_stra~8    .11249099    0.121   -.06846709    .29344907
final_stra~9     .1094124    0.194   -.19757792    .41640271
final_str~10   -.11918971    0.063    -.2609887    .02260929
final_str~11    -.1565473    0.097   -.39786706    .08477247
final_str~12   -.04964284    0.418   -1.2712024    1.1719167
final_str~13   -.08929352    0.365   -2.5418296    2.3632426
entry_survey   -.04408765    0.062   -.09083824    .00266295
_cons           .25437784    0.006    .12603781    .38271788
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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> .................................................................................
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> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.01427332    0.367   -.04672176    .01817512
final_str~d1     .0366871    0.202   -.05406851    .12744271
final_str~d2    .00006786    0.973    -.1795177    .17965341
final_str~d3   -.01657393    0.463   -.08728987      .054142
final_str~d4   -.03169582    0.181   -.14486075     .0814691
final_stra~5    .02882678    0.580    -.1655539    .22320746
final_stra~6   -.02349507    0.392   -.32791893     .2809288
final_stra~7    .01221237    0.436   -.06066695    .08509169
final_stra~8    .07230951    0.160    -.0610326    .20565161
final_stra~9    .10134647    0.310   -.57587823    .77857118
final_str~10    .08801568    0.311   -.83132725    1.0073586
final_str~11    .40874134    0.074   -.57920044    1.3966831
final_str~12    .13676676    0.211   -1.6108256    1.8843591
final_str~13    .06769167    0.381   -2.2936023    2.4289856
entry_survey    .02635902    0.003    .00982151    .04289654
_cons           .02156278    0.401   -.05665189    .09977746
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
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> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.02145326    0.505   -.08808126    .04517474
final_str~d1    .13138584    0.307   -.22200584    .48477752
final_str~d2    .19222641    0.274   -.43306551    .81751833
final_str~d3   -.07000833    0.566   -.53202703    .39201037
final_str~d4   -.08190934    0.470    -3.616046    3.4522273
final_stra~5    .14974337    0.250   -.18925992    .48874666
final_stra~6    -.0764822    0.505   -2.0161144      1.86315
final_stra~7   -.03031711    0.648   -6.2396451    6.1790109
final_stra~8   -.08064776    0.561   -.55104952    .38975401
final_stra~9   -.05203843    0.606   -.69764153    .59356467
final_str~10   -.08753303    0.522   -.95734087     .7822748
final_str~11   -.06070819    0.580    -.8810604    .75964402
final_str~12   -.06998062    0.472   -3.4117129    3.2717516
final_str~13    -.0710745    0.511   -1.6979379    1.5557889
entry_survey   -.01225148    0.542   -.05097621    .02647326
_cons           .10928349    0.444   -.38080048    .59936747
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .03108066    0.405   -.04465066    .10681197
final_str~d1   -.06733753    0.446   -.30474058    .17006553
final_str~d2   -.14013472    0.233   -.70273453    .42246509
final_str~d3    .06246551    0.195   -.08207203    .20700305
final_str~d4    .16156899    0.017    .04384934    .27928865
final_stra~5   -.09497614    0.387   -.38649846    .19654617
final_stra~6    .16017712    0.099   -.54654383    .86689807
final_stra~7    .08093218    0.119   -.36780127    .52966562
final_stra~8    .16679033    0.005    .09429935    .23928132
final_stra~9    .01957371    0.611    -.2564047    .29555211
final_str~10    .12263862    0.034    .02509186    .22018538
final_str~11    .16019191    0.093   -.21508359    .53546741
final_str~12    .13400399    0.182   -.47403054    .74203852
final_str~13    .15239859    0.054   -.06882856    .37362573
entry_survey    .00601951    0.780   -.03706284    .04910187
_cons           .79308479    0.000    .63420555    .95196403
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.02405297    0.523   -.10171345    .05360751
final_str~d1    .03995786    0.659   -.23320308    .31311879
final_str~d2    .10817015    0.415    -.6443868     .8607271
final_str~d3   -.06331625    0.211   -.22827346    .10164096
final_str~d4   -.16831273    0.018   -.24873409   -.08789136
final_stra~5    .09732395    0.391   -.20516254    .39981044
final_stra~6   -.16574547    0.110   -.91246529    .58097434
final_stra~7   -.10562771    0.074   -.23059456    .01933914
final_stra~8   -.16636148    0.009   -.25524209   -.07748086
final_stra~9   -.14997958    0.048   -.29680511   -.00315406
final_str~10   -.13588326    0.058    -.2806427    .00887618
final_str~11   -.17736899    0.060   -.39727281    .04253483
final_str~12   -.16866991    0.147   -.61474948    .27740966
final_str~13   -.16886284    0.031   -.26140261   -.07632308
entry_survey   -.00216086    0.922    -.0468122    .04249049
_cons           .19899633    0.051   -.00082848    .39882113
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.00702769    0.269   -.01967626    .00562088
final_str~d1    .02737967    0.080   -.00852779    .06328713
final_str~d2    .03196457    0.371   -.32067163    .38460078
final_str~d3    .00085074    0.874   -.01586035    .01756183
final_str~d4    .00674373    0.563   -.23251285    .24600032
final_stra~5   -.00234781    0.621   -.01908432    .01438871
final_stra~6    .00556836    0.512   -.05268283    .06381954
final_stra~7    .02469553    0.486   -1.7484799     1.797871
final_stra~8   -.00042886    0.882   -.01209026    .01123254
final_stra~9    .13040588    0.190   -.70100148    .96181323
final_str~10    .01324463    0.277   -.05357617    .08006544
final_str~11    .01717708    0.531   -.46874345    .50309761
final_str~12    .03466592    0.080   -.01170274    .08103459
final_str~13    .01646426    0.365   -.26121822    .29414673
entry_survey   -.00385866    0.535   -.01627604    .00855872
_cons           .00791889    0.416    -.0184926    .03433037
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.02021708    0.381    -.0673143    .02688015
final_str~d1   -.01884153    0.789   -.22633961    .18865655
final_str~d2   -.06940492    0.454   -.35491869    .21610884
final_str~d3    .02409191    0.707    -.1756437    .22382752
final_str~d4   -.05484345    0.473   -.40155675    .29186984
final_stra~5    .02941279    0.685   -.17732707    .23615265
final_stra~6   -.17196977    0.177   -.72525363    .38131409
final_stra~7   -.11447298    0.257   -.39708571    .16813975
final_stra~8    .13950634    0.115   -.05058548    .32959816
final_stra~9   -.07457549    0.478   -.51123673    .36208575
final_str~10    -.0347762    0.614   -.31010018    .24054777
final_str~11    .04511774    0.621   -.54323277    .63346826
final_str~12    -.0635011    0.523   -.46404265    .33704045
final_str~13    -.0616333    0.615   -2.4770955    2.3538289
entry_survey    .02091934    0.419    -.0297173    .07155598
_cons           .30124622    0.011    .11358367    .48890877
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .00556426    0.652   -.02284972    .03397823
final_str~d1   -.05942259    0.630   -1.5736761    1.4548309
final_str~d2   -.04944912    0.663   -2.0103745    1.9114763
final_str~d3   -.01585527    0.842    -.9041766    .87246605
final_str~d4    .00073256    0.849   -7.2050352    7.2065003
final_stra~5   -.01055588    0.890   -.69617266     .6750609
final_stra~6    .13459816    0.549   -2.8301497     3.099346
final_stra~7    -.0684844    0.530   -9.5972811    9.4603123
final_stra~8    .02408276    0.832   -.33591966    .38408518
final_stra~9   -.05600818    0.613   -2.6324903    2.5204739
final_str~10   -.06582831    0.609   -2.3586304    2.2269738
final_str~11    -.0654259    0.595   -2.6945529    2.5637011
final_str~12   -.06512261    0.507   -5.6815291    5.5512839
final_str~13   -.06582506    0.555   -4.2249529    4.0933028
entry_survey   -.00786743    0.427   -.02645734    .01072247
_cons           .07060536    0.620   -.82590391    .96711462
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .01465282    0.527   -.03394117    .06324681
final_str~d1    .07826412    0.253   -.09266283    .24919107
final_str~d2    .11885404    0.177   -.16111729    .39882538
final_str~d3   -.00823664    0.883   -.18791202    .17143874
final_str~d4     .0541109    0.423   -1.2988816    1.4071034
final_stra~5   -.01885692    0.753   -.17988515    .14217132
final_stra~6    .03737161    0.558   -.52813936    .60288258
final_stra~7    .18295738    0.169   -2.3821989    2.7481137
final_stra~8    -.1635891    0.045   -.32013715   -.00704106
final_stra~9    .13058367    0.315   -.41987578    .68104313
final_str~10    .10060452    0.175   -.09937378    .30058281
final_str~11    .02030816    0.806   -.52541992    .56603624
final_str~12     .1286237    0.230   -1.1743379    1.4315853
final_str~13    .12745835    0.468   -3.0264231    3.2813398
entry_survey    -.0130519    0.617   -.06524318    .03913937
_cons           .62814842    0.005    .47236421    .78393263
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       -.0321337    0.138   -.07504211    .01077471
final_str~d1    .01009348    0.897   -.27368585    .29387281
final_str~d2   -.04778128    0.615   -.40912177    .31355922
final_str~d3    .01545307    0.806   -.19939522    .23030135
final_str~d4   -.03152245    0.554   -.79219447    .72914956
final_stra~5    .04891367    0.556   -.19261909    .29044644
final_stra~6   -.06022945    0.504   -.73496801    .61450912
final_stra~7   -.04087062    0.512    -1.049418    .96767671
final_stra~8    .20636017    0.038    .01250683    .40021351
final_stra~9    .02877395    0.771   -.51696413    .57451202
final_str~10    .04086854    0.608   -.28625331    .36799039
final_str~11    .12302942    0.299   -.40151903    .64757787
final_str~12    .03247729    0.671   -.60062269    .66557727
final_str~13    .01709785    0.834   -1.2813081    1.3155038
entry_survey    .02775018    0.231   -.01722428    .07272463
_cons           .20354411    0.089   -.03319938     .4402876
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .04331248    0.094   -.00881905    .09544402
final_str~d1   -.07200607    0.653   -.92754604     .7835339
final_str~d2   -.08173004    0.666   -1.2312314    1.0677713
final_str~d3   -.00690446    0.943   -1.3924481    1.3786392
final_str~d4    -.1420719    0.486   -7.8490762    7.5649324
final_stra~5   -.09824657    0.569   -.75946783    .56297469
final_stra~6    .03919176    0.759   -4.6543884     4.732772
final_stra~7   -.14503412    0.522   -20.234397    19.944329
final_stra~8   -.05009036    0.713   -.63052083     .5303401
final_stra~9   -.10006441    0.590   -1.0293505    .82922174
final_str~10   -.14788792    0.512   -1.8894028     1.593627
final_str~11   -.13895196    0.517   -1.4649452    1.1870413
final_str~12    -.1470676    0.398   -3.5876366    3.2935013
final_str~13    .01334011    0.840   -2.0537566    2.0804369
entry_survey   -.00343355    0.893   -.05427946    .04741236
_cons           .43551009    0.282   -.29337109    1.1643913
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .00242683    0.923   -.04744946    .05230312
final_str~d1    .03171724    0.469   -.12159653      .185031
final_str~d2    .13711044    0.128   -.23699718    .51121806
final_str~d3    .00891455    0.832   -.13786143    .15569054
final_str~d4    .12419775    0.152   -.65017007    .89856556
final_stra~5     .0593706    0.388   -.13682701    .25556822
final_stra~6    .03572631    0.390   -.42794893    .49940156
final_stra~7    .12882349    0.271   -3.1431644    3.4008114
final_stra~8   -.13427381    0.065   -.28900063      .020453
final_stra~9     .0888933    0.270   -.22894716    .40673377
final_str~10    .12314385    0.079   -.05288918    .29917688
final_str~11    .04251696    0.694   -1.1657938    1.2508277
final_str~12    .14143967    0.103   -.21111659    .49399593
final_str~13   -.07435488    0.335   -1.8822115    1.7335018
entry_survey   -.01689897    0.400   -.05724735    .02344941
_cons           .30299066    0.011    .16707084    .43891048
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.01360562    0.313   -.04310245    .01589121
final_str~d1    .03019535    0.592   -.10978065    .17017135
final_str~d2   -.00759912    0.829   -.25229443    .23709619
final_str~d3   -.01746316    0.689   -.21393628    .17900997
final_str~d4     .0493966    0.502   -3.4092523    3.5080455
final_stra~5    -.0100377    0.808   -.19196725    .17189184
final_stra~6   -.01468863    0.714   -1.3257592    1.2963819
final_stra~7    .05708125    0.562   -9.9472652    10.061428
final_stra~8   -.02199599    0.638   -.20282166    .15882968
final_stra~9   -.01760284    0.724   -.27404499     .2388393
final_str~10   -.01612446    0.716   -.22191913    .18967021
final_str~11   -.02659442    0.585   -.30299849    .24980965
final_str~12   -.02684936    0.623   -.75655868    .70285997
final_str~13    .04391692    0.497   -1.6311503    1.7189841
entry_survey   -.00741765    0.532   -.03207486    .01723955
_cons           .05795514    0.365   -.11439239    .23030266
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.12791844    0.224   -.34377321    .08793634
final_str~d1   -.27392448    0.306   -1.5244861    .97663718
final_str~d2   -.48614373    0.301   -2.8204897    1.8482023
final_str~d3   -.31503877    0.255    -1.566045    .93596749
final_str~d4   -.71295883    0.245   -9.8378821    8.4119645
final_stra~5   -.23709511    0.461   -1.5522133    1.0780231
final_stra~6    .05256832    0.812   -2.8397015    2.9448381
final_stra~7   -1.0439297    0.214   -20.427746    18.339887
final_stra~8   -.21045087    0.472    -1.596834    1.1759322
final_stra~9    -.2280658    0.672   -3.2198918    2.7637602
final_str~10   -.81480585    0.200   -2.6399819    1.0103702
final_str~11   -1.2768686    0.051   -2.5917456    .03800842
final_str~12   -1.5042496    0.050   -3.0861388    .07763957
final_str~13   -1.0891472    0.324   -17.401502    15.223207
entry_survey   -.09425407    0.477   -.37003582    .18152768
_cons           6.0283259    0.000    4.8865663    7.1700854
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.00804831    0.106   -.01790314    .00180651
final_str~d1   -.00181038    0.879   -.05149942    .04787866
final_str~d2    .00596951    0.709   -.08511049    .09704952
final_str~d3    .01072365    0.509   -.03316772    .05461502
final_str~d4    .00716529    0.660   -.48875232     .5030829
final_stra~5    .00740661    0.657   -.04671932    .06153255
final_stra~6    .00497642    0.807   -.30213062    .31208345
final_stra~7    .04168241    0.413   -.72903848    .81240331
final_stra~8    .01788355    0.352   -.04663062    .08239771
final_stra~9   -.00120134    0.927   -.08188328     .0794806
final_str~10    .00429858    0.777   -.07008719    .07868435
final_str~11    .02648456    0.364   -.25288746    .30585659
final_str~12    .06124448    0.260   -.56324071    .68572966
final_str~13    .04326645    0.467   -2.0772508    2.1637837
entry_survey   -.00135394    0.877   -.01952523    .01681734
_cons           .01498732    0.331   -.02547454    .05544917
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       -.0029682    0.739   -.02227254    .01633615
final_str~d1    .01220747    0.209   -.02317097    .04758591
final_str~d2   -.00061801    0.930   -.05888124    .05764521
final_str~d3    .00369812    0.733   -.04084714    .04824338
final_str~d4   -.02785981    0.463   -.86339233    .80767271
final_stra~5    .01681768    0.196    -.0284965    .06213186
final_stra~6   -.07513415    0.225   -1.4419794    1.2917111
final_stra~7   -.00046881    0.814   -.06495677    .06401914
final_stra~8   -.07386042    0.070   -.16473135    .01701051
final_stra~9   -.01177063    0.526   -.17106375     .1475225
final_str~10    .00991529    0.425    -.0569389    .07676948
final_str~11    -.1327172    0.223   -1.3220599    1.0566255
final_str~12    -.1082184    0.378   -.90837261     .6919358
final_str~13   -.05583622    0.578   -5.6799511    5.5682786
entry_survey    .00154326    0.847   -.01485446    .01794098
_cons           .98294723    0.000    .94417484    1.0217196
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .00503114    0.909    -.0816802    .09174248
final_str~d1   -.26793084    0.580   -2.6132875    2.0774258
final_str~d2    -.1810874    0.621   -7.2834231    6.9212483
final_str~d3      .169085    0.644   -4.6368364    4.9750064
final_str~d4    -.0041947    0.830   -25.842273    25.833884
final_stra~5    .10687399    0.736   -2.3670869    2.5808348
final_stra~6   -.31432592    0.525   -42.834258    42.205606
final_stra~7    .29239794    0.504   -117.36661    117.95141
final_stra~8     -.369597    0.545   -3.0495507    2.3103567
final_stra~9   -.55336901    0.539   -14.903258     13.79652
final_str~10   -.53725601    0.539   -4.6399458    3.5654338
final_str~11   -.40088934    0.488   -3.6138399    2.8120612
final_str~12    .01471505    0.788   -30.902981    30.932411
final_str~13   -.12997747    0.679   -20.304828    20.044873
entry_survey    .00838224    0.695   -.03640416    .05316863
_cons           .64752605    0.534   -4.1308688    5.4259209
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .00771288    0.696   -.03126903    .04669478
final_str~d1    .02545191    0.658   -.21910624    .27001006
final_str~d2   -.00525938    0.909   -.28309739    .27257862
final_str~d3     .0112997    0.821   -.22924289    .25184229
final_str~d4   -.03434473    0.662   -1.6828785     1.614189
final_stra~5    .06060638    0.365   -.16100212    .28221488
final_stra~6   -.09196358    0.343   -2.4183055    2.2343784
final_stra~7   -.16021806    0.498     -45.0938    44.773364
final_stra~8   -.03440201    0.578   -.24998304    .18117902
final_stra~9    .08230819    0.345   -.30602967    .47064605
final_str~10   -.04034863    0.666   -.35964439    .27894713
final_str~11   -.12827066    0.231   -.52438612     .2678448
final_str~12   -.14058247    0.216   -1.0667772    .78561228
final_str~13   -.01750151    0.747   -1.9522047    1.9172016
entry_survey   -.08119937    0.000   -.11297043    -.0494283
_cons            .8917883    0.000    .67981255     1.103764
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.00727199    0.794   -.06491287    .05036889
final_str~d1     .0454866    0.779   -1.0871366    1.1781098
final_str~d2      .093881    0.666   -1.5583276    1.7460895
final_str~d3    .03083997    0.838   -1.1673551     1.229035
final_str~d4    .14008757    0.505   -3.2791471    3.5593222
final_stra~5   -.07546417    0.683   -1.1950252    1.0440968
final_stra~6   -.18177883    0.538   -7.3956303    7.0320726
final_stra~7     .1426432    0.618   -65.328541    65.613828
final_stra~8     -.172351    0.568   -1.4464575    1.1017555
final_stra~9    .01119882    0.931   -1.5553241    1.5777217
final_str~10    -.0874214    0.665   -1.1783643    1.0035215
final_str~11   -.07560495    0.668     -1.59871    1.4475001
final_str~12    -.0529629    0.620   -8.3953415    8.2894157
final_str~13    .01344269    0.875   -5.2867045    5.3135898
entry_survey    -.0353611    0.210   -.09382509    .02310288
_cons           .29567061    0.467    -1.000731    1.5920722
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
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> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.01052574    0.741   -.08026016    .05920867
final_str~d1    .00640027    0.948   -.36935939    .38215992
final_str~d2   -.02145619    0.805   -.83283353    .78992115
final_str~d3   -.08045737    0.512   -.45056871    .28965396
final_str~d4    -.1942927    0.283   -.74683217    .35824677
final_stra~5   -.09934639    0.469   -.58007896    .38138619
final_stra~6   -.02407101    0.848   -1.1534301    1.1052881
final_stra~7   -.46327749    0.273   -28.113861    27.187306
final_stra~8    .01108118    0.902   -.41371922    .43588159
final_stra~9    .05009629    0.611   -.83956175    .93975433
final_str~10   -.01566358    0.885   -.43520447    .40387731
final_str~11    .00526635    0.938   -.46772197    .47825466
final_str~12   -.16337944    0.329   -4.9233207    4.5965618
final_str~13   -.18703267    0.316      -2.0487    1.6746347
entry_survey   -.08372553    0.013    -.1465829   -.02086816
_cons           .82304458    0.012    .43340479    1.2126844
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
...................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
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> .................................................................................
> .................................................................................
> .................................................................................
> .................................................................................
> .........................................................
Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment      -.03875509    0.305   -.11575649    .03824631
final_str~d1   -.05554995    0.691   -.71961804    .60851813
final_str~d2   -.08199555    0.678   -1.2523819    1.0883908
final_str~d3    -.0529892    0.698   -.75048635    .64450795
final_str~d4   -.19001167    0.428   -1.3446476    .96462428
final_stra~5   -.07773082    0.615   -.60365623     .4481946
final_stra~6     .0426844    0.702   -2.4826364    2.5680052
final_stra~7   -.22792476    0.373   -4.8204112    4.3645617
final_stra~8   -.21655983    0.335   -.74278168    .30966203
final_stra~9    .04931933    0.710   -.83783439    .93647304
final_str~10    .02843336    0.855   -.59176381    .64863052
final_str~11    .04927854    0.762    -.8701596    .96871668
final_str~12   -.18875131    0.385   -4.1519284    3.7744258
final_str~13   -.06681488    0.605   -1.7250274    1.5913977
entry_survey   -.03431204    0.341   -.10682327    .03819919
_cons           .59681553    0.038    .03150044    1.1621306
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment        .0344754    0.145   -.01403603    .08298683
final_str~d1    .01371575    0.692   -.11480757    .14223908
final_str~d2    .00297994    0.928   -.21274462    .21870449
final_str~d3    .06785361    0.076   -.02891863    .16462586
final_str~d4   -.00664356    0.767   -2.1217433    2.1084562
final_stra~5   -.00149147    0.971   -.12808809    .12510514
final_stra~6   -.04694203    0.136   -.16546428    .07158022
final_stra~7    .13644811    0.464   -4.5164627    4.7893589
final_stra~8    .20515654    0.011    .11765148    .29266161
final_stra~9    .00253093    0.942   -.82377484     .8288367
final_str~10   -.00768975    0.823   -.18855142    .17317193
final_str~11   -.01311252    0.820   -.61008546    .58386043
final_str~12    .14472563    0.010    .09527869    .19417257
final_str~13    .03284249    0.383   -.41801371    .48369868
entry_survey   -.05309117    0.091   -.11608436    .00990201
_cons           .23287609    0.003     .1309825    .33476967
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .00427969    0.869   -.04712993    .05568931
final_str~d1     .0418342    0.720   -.51661862    .60028701
final_str~d2    .07901561    0.639    -.9420559    1.1000871
final_str~d3   -.01486441    0.877   -.89232237    .86259354
final_str~d4    .19665524    0.457   -2.3695182    2.7628287
final_stra~5    .07922229    0.573   -.44245893     .6009035
final_stra~6    .00425763    0.909   -3.9279709    3.9364862
final_stra~7    .09147665    0.505   -4.3456058    4.5285591
final_stra~8    .01140328    0.918   -.50664567    .52945223
final_stra~9   -.05185025    0.747   -1.4031717    1.2994712
final_str~10   -.02074361    0.869   -.56091337    .51942615
final_str~11   -.03616603    0.765   -.81824822    .74591616
final_str~12    .04402568    0.648   -5.9951734    6.0832247
final_str~13    .03397239    0.737   -2.1500431    2.2179879
entry_survey    .08740321    0.001    .03964919    .13515723
_cons           .17030839    0.479   -.49345356    .83407034
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 58
Cluster variable is uid_cluster
Number of clusters for model is 58
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .48569254    0.330   -.53273836    1.5041235
final_str~d1    2.8140688    0.115   -1.3563489    6.9844866
final_str~d2            0    0.000            .            .
final_str~d3    .42908521    0.590   -2.4150004    3.2731708
final_str~d4            0    0.000            .            .
final_stra~5   -2.5318596    0.048   -4.9753723   -.08834699
final_stra~6    3.9810923    0.242   -33.604524    41.566709
final_stra~7   -2.0310835    0.145    -6.280718     2.218551
final_stra~8    3.7408698    0.090   -1.0722883    8.5540278
final_stra~9    4.4820364    0.100   -5.7322276      14.6963
final_str~10     1.739211    0.365   -7.1220701    10.600492
final_str~11   -.26999797    0.880   -22.365974    21.825978
final_str~12   -.57811995    0.331   -3.0722128     1.915973
final_str~13   -1.8922738    0.477   -31.893955    28.109407
entry_survey   -.30364152    0.511   -1.2375661    .63028302
_cons           10.521069    0.003    7.8716666    13.170471
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 58
Cluster variable is uid_cluster
Number of clusters for model is 58
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .36449177    0.651   -1.2474392    1.9764228
final_str~d1   -5.2511383    0.599   -74.722053    64.219776
final_str~d2            0    0.000            .            .
final_str~d3    .62669928    0.890   -15.530332     16.78373
final_str~d4            0    0.000            .            .
final_stra~5   -4.4831661    0.600   -63.123464    54.157132
final_stra~6   -2.3483523    0.617   -393.42556    388.72885
final_stra~7   -5.6519722    0.508   -147.01394    135.70999
final_stra~8   -2.7884573    0.624   -33.204442    27.627527
final_stra~9   -4.8484139    0.582   -105.91105    96.214222
final_str~10   -4.9843926    0.593   -95.758379    85.789594
final_str~11   -5.2844004    0.584   -109.94138    99.372578
final_str~12   -5.5310718    0.355   -102.15927    91.097122
final_str~13   -5.0001082    0.523   -150.26943    140.26921
entry_survey   -.68705875    0.123   -1.6551932     .2810757
_cons           6.2192566    0.557   -43.117327     55.55584
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.
Cluster variable is uid_cluster
Number of clusters is 65
Cluster variable is uid_cluster
Number of clusters for model is 65
Starting 5000 Bootstrap Replications
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Bootstrap iterations completed.  Now storing model results...
The model ran succesfully and stored results in 5000 bootstrap iterations.

Model Results
------------------------------------------------------------
              Coefficient Prob>|t|   95%_CI_low  95%_CI_high
------------------------------------------------------------
treatment       .01318487    0.467    -.0235218    .04989155
final_str~d1    -.0146064    0.680   -.12304862    .09383582
final_str~d2   -.01972026    0.501   -.14340841    .10396789
final_str~d3    .04232346    0.209    -.0519816    .13662851
final_str~d4   -.07510646    0.232   -2.3261824    2.1759695
final_stra~5   -.02463245    0.403   -.11849974    .06923483
final_stra~6    .04307854    0.547   -.98914167    1.0752988
final_stra~7     .0358381    0.181   -.11835658    .19003278
final_stra~8    .03190132    0.441   -.08446359    .14826623
final_stra~9   -.00766335    0.791   -.17466282    .15933613
final_str~10    .04483746    0.591   -.28163798    .37131289
final_str~11    .04266096    0.444   -.14619805    .23151996
final_str~12    .01194855    0.741   -2.0655039     2.089401
final_str~13    .18254404    0.414   -5.5724074    5.9374955
entry_survey   -.12608654    0.000    -.1739241   -.07824899
_cons           .39929369    0.000    .31686859    .48171879
------------------------------------------------------------
The t-statistics and 95% confidence intervals are generated from the pairs 
cluster bootstrap-t procedure and are robust to clustering with a small number 
of sampling units.  Please note that the accuracy of the t-statistics and CIs 
is conditional on the number of bootstrap replications that were used to 
calculate the distribution of t. For p < .05 significance tests, specify reps(500)
 or more. For p < .01 level, specify reps(1000) or more. For p < .001 level, specif
> y 
reps(5000) or more.  More iterations will also yield more accurate confidence 
intervals.  Post-estimation procedures should not be run on this model.

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